![]() | ROCHESTER Americans |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Martin Gagnon | Morale : 99 | Moyenne d’équipe : 67 |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du joueur | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Anders Bjork | X | 100.00 | 68 | 35 | 93 | 71 | 74 | 89 | 84 | 69 | 59 | 68 | 67 | 66 | 70 | 69 | 65 | 54 | 99 | 72 | 0 | 25 | 2 | 1,400,000$ | ||||
2 | Jordan Martinook | X | X | X | 100.00 | 83 | 43 | 83 | 66 | 74 | 78 | 84 | 63 | 85 | 69 | 62 | 74 | 63 | 77 | 75 | 56 | 99 | 72 | 0 | 29 | 4 | 1,500,000$ | ||
3 | Alexander True | X | 100.00 | 76 | 39 | 87 | 65 | 89 | 81 | 85 | 64 | 76 | 66 | 61 | 63 | 66 | 67 | 69 | 54 | 99 | 71 | 0 | 24 | 2 | 800,000$ | ||||
4 | Tobias Rieder | X | X | X | 100.00 | 58 | 35 | 94 | 73 | 69 | 78 | 85 | 66 | 60 | 64 | 63 | 76 | 66 | 75 | 68 | 49 | 99 | 71 | 0 | 28 | 3 | 750,000$ | ||
5 | Brandon Pirri | X | X | X | 100.00 | 64 | 42 | 85 | 66 | 73 | 80 | 78 | 63 | 75 | 64 | 65 | 62 | 67 | 78 | 69 | 56 | 99 | 69 | 0 | 30 | 4 | 775,000$ | ||
6 | Brayden Burke | X | X | 100.00 | 56 | 46 | 79 | 63 | 65 | 83 | 88 | 66 | 70 | 68 | 61 | 59 | 64 | 67 | 63 | 52 | 99 | 68 | 0 | 24 | 2 | 750,000$ | |||
7 | Marko Dano | X | 100.00 | 67 | 46 | 79 | 66 | 73 | 77 | 72 | 63 | 57 | 60 | 59 | 62 | 65 | 73 | 67 | 68 | 99 | 67 | 0 | 26 | 3 | 1,000,000$ | ||||
8 | Yannick Veilleux | X | 100.00 | 71 | 76 | 63 | 64 | 79 | 66 | 71 | 62 | 57 | 61 | 65 | 63 | 67 | 75 | 71 | 51 | 99 | 67 | 0 | 28 | 2 | 750,000$ | ||||
9 | JC Lipon | X | 100.00 | 62 | 62 | 60 | 58 | 71 | 88 | 93 | 58 | 61 | 59 | 58 | 60 | 62 | 75 | 68 | 53 | 99 | 67 | 0 | 28 | 3 | 1,000,000$ | ||||
10 | Joseph Cramarossa | X | 100.00 | 79 | 64 | 50 | 61 | 72 | 73 | 72 | 60 | 60 | 61 | 59 | 60 | 60 | 77 | 69 | 54 | 99 | 66 | 0 | 28 | 2 | 750,000$ | ||||
11 | Aidan Dudas (R) | X | 100.00 | 63 | 35 | 91 | 61 | 62 | 83 | 86 | 58 | 63 | 54 | 57 | 53 | 58 | 61 | 63 | 66 | 99 | 64 | 0 | 21 | 3 | 750,000$ | ||||
12 | Tanner Kaspick | X | 100.00 | 65 | 51 | 76 | 57 | 74 | 77 | 82 | 56 | 61 | 54 | 55 | 53 | 57 | 65 | 63 | 59 | 99 | 63 | 0 | 23 | 3 | 800,000$ | ||||
13 | Ethan Bear | X | 100.00 | 65 | 39 | 87 | 72 | 70 | 89 | 88 | 67 | 30 | 72 | 61 | 75 | 53 | 67 | 65 | 58 | 99 | 72 | 0 | 24 | 3 | 1,750,000$ | ||||
14 | Madison Bowey | X | 100.00 | 73 | 51 | 78 | 66 | 81 | 82 | 76 | 68 | 30 | 75 | 61 | 64 | 53 | 71 | 65 | 67 | 99 | 71 | 0 | 26 | 2 | 750,000$ | ||||
15 | Cale Fleury | X | 100.00 | 89 | 35 | 92 | 63 | 80 | 85 | 81 | 62 | 30 | 61 | 56 | 64 | 53 | 65 | 68 | 62 | 99 | 69 | 0 | 22 | 5 | 950,000$ | ||||
16 | Axel Andersson (R) | X | 100.00 | 62 | 35 | 93 | 63 | 71 | 73 | 78 | 62 | 30 | 59 | 56 | 61 | 52 | 63 | 64 | 72 | 99 | 65 | 0 | 21 | 3 | 750,000$ | ||||
17 | Sean Durzi (R) | X | 100.00 | 62 | 37 | 78 | 63 | 71 | 78 | 83 | 61 | 30 | 62 | 54 | 60 | 47 | 65 | 63 | 71 | 99 | 65 | 0 | 22 | 3 | 750,000$ | ||||
18 | Konrad Abeltshauser (R) | X | 100.00 | 49 | 35 | 78 | 60 | 88 | 45 | 40 | 49 | 30 | 34 | 28 | 55 | 48 | 60 | 55 | 71 | 99 | 50 | 0 | 29 | 3 | 750,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 67 | 45 | 80 | 64 | 74 | 78 | 79 | 62 | 54 | 62 | 58 | 63 | 60 | 69 | 66 | 60 | 99 | 67 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Louis Domingue | 100.00 | 74 | 86 | 81 | 85 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 77 | 83 | 51 | 99 | 69 | 0 | 29 | 3 | 750,000$ | |
2 | Eric Comrie | 100.00 | 76 | 80 | 77 | 72 | 75 | 74 | 76 | 75 | 74 | 76 | 75 | 71 | 75 | 65 | 99 | 68 | 0 | 26 | 3 | 750,000$ | |
Rayé | |||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 75 | 83 | 79 | 79 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 74 | 79 | 58 | 99 | 69 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Benoit Groulx | 76 | 75 | 73 | 79 | 82 | 77 | 69 | CAN | 54 | 3 | 300,000$ |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du joueur | Nom de l’équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du gardien | Nom de l’équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | Nouveau joueur | Poids | Taille | Non-échange | Disponible pour échange | Ballotage forcé | Contrat | Type | Salaire actuel | Salaire restant | Salaire moyen | Salaire moyen restant | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 10 | Link |
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Aidan Dudas | ![]() | C | 21 | 6/15/2000 | Yes | 74 Kg | 173 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Alexander True | ![]() | C | 24 | 7/17/1997 | No | 91 Kg | 196 CM | No | No | No | 2 | Pro & Farm | 800,000$ | 685,714$ | 800,000$ | 685,714$ | 0$ | 0$ | No | 800,000$ | Lien | ||||||||
Anders Bjork | ![]() | LW | 25 | 8/5/1996 | No | 90 Kg | 183 CM | No | No | No | 2 | Pro & Farm | 1,400,000$ | 1,200,000$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 1,400,000$ | Lien | ||||||||
Axel Andersson | ![]() | D | 21 | 2/10/2000 | Yes | 81 Kg | 183 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Brandon Pirri | ![]() | C/LW/RW | 30 | 4/10/1991 | No | 82 Kg | 185 CM | No | No | No | 4 | Pro & Farm | 775,000$ | 664,286$ | 775,000$ | 664,286$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | Lien | ||||||
Brayden Burke | ![]() | C/LW | 24 | 1/1/1997 | No | 75 Kg | 180 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Cale Fleury | ![]() | D | 22 | 11/19/1998 | No | 97 Kg | 185 CM | No | No | No | 5 | Pro & Farm | 950,000$ | 814,286$ | 950,000$ | 814,286$ | 0$ | 0$ | No | 950,000$ | 950,000$ | 950,000$ | 950,000$ | Lien | |||||
Eric Comrie | ![]() | G | 26 | 7/6/1995 | No | 80 Kg | 185 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 750,000$ | 750,000$ | Lien | |||||||
Ethan Bear | ![]() | D | 24 | 6/26/1997 | No | 90 Kg | 180 CM | No | No | No | 3 | Pro & Farm | 1,750,000$ | 1,500,000$ | 1,750,000$ | 1,500,000$ | 0$ | 0$ | No | 1,750,000$ | 1,750,000$ | Lien | |||||||
JC Lipon | ![]() | RW | 28 | 7/10/1993 | No | 83 Kg | 183 CM | No | No | No | 3 | Pro & Farm | 1,000,000$ | 857,143$ | 1,000,000$ | 857,143$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | Lien | |||||||
Jordan Martinook | ![]() | C/LW/RW | 29 | 7/25/1992 | No | 89 Kg | 183 CM | No | No | No | 4 | Pro & Farm | 1,500,000$ | 1,285,714$ | 1,500,000$ | 1,285,714$ | 0$ | 0$ | No | 1,500,000$ | 1,500,000$ | 1,500,000$ | Lien | ||||||
Joseph Cramarossa | ![]() | LW | 28 | 10/26/1992 | No | 85 Kg | 183 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Konrad Abeltshauser | ![]() | D | 29 | 9/2/1992 | Yes | 102 Kg | 196 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Louis Domingue | ![]() | G | 29 | 3/6/1992 | No | 95 Kg | 191 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 750,000$ | 750,000$ | Lien | |||||||
Madison Bowey | ![]() | D | 26 | 4/22/1995 | No | 92 Kg | 188 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Marko Dano | ![]() | LW | 26 | 11/30/1994 | No | 91 Kg | 180 CM | No | No | No | 3 | Pro & Farm | 1,000,000$ | 857,143$ | 1,000,000$ | 857,143$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | Lien | |||||||
Sean Durzi | ![]() | D | 22 | 10/21/1998 | Yes | 84 Kg | 183 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Tanner Kaspick | ![]() | C | 23 | 1/28/1998 | No | 91 Kg | 183 CM | No | No | No | 3 | Pro & Farm | 800,000$ | 685,714$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 800,000$ | 800,000$ | Lien | |||||||
Tobias Rieder | ![]() | C/LW/RW | 28 | 1/10/1993 | No | 86 Kg | 180 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 750,000$ | 750,000$ | Lien | |||||||
Yannick Veilleux | ![]() | LW | 28 | 2/22/1993 | No | 89 Kg | 188 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 750,000$ | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
20 | 25.65 | 87 Kg | 185 CM | 2.90 | 911,250$ |
Attaque à 5 contre 5 | |||||||
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Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Anders Bjork | Jordan Martinook | Tobias Rieder | 40 | 1 | 2 | 2 |
2 | Marko Dano | Aidan Dudas | Brandon Pirri | 30 | 1 | 2 | 2 |
3 | Brayden Burke | Alexander True | JC Lipon | 20 | 1 | 2 | 2 |
4 | Yannick Veilleux | Tanner Kaspick | JC Lipon | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Ethan Bear | Sean Durzi | 31 | 1 | 2 | 2 | |
2 | Cale Fleury | Madison Bowey | 26 | 1 | 2 | 2 | |
3 | Ethan Bear | Axel Andersson | 23 | 1 | 2 | 2 | |
4 | Cale Fleury | Axel Andersson | 20 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Anders Bjork | Aidan Dudas | Jordan Martinook | 55 | 1 | 2 | 2 |
2 | Brandon Pirri | Alexander True | JC Lipon | 45 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Ethan Bear | Sean Durzi | 55 | 1 | 2 | 2 | |
2 | Cale Fleury | Madison Bowey | 45 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Jordan Martinook | Anders Bjork | 55 | 1 | 2 | 2 |
2 | Alexander True | Tobias Rieder | 45 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Cale Fleury | Ethan Bear | 55 | 1 | 2 | 2 |
2 | Axel Andersson | Madison Bowey | 45 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Jordan Martinook | 55 | 1 | 2 | 2 | Ethan Bear | Cale Fleury | 55 | 1 | 2 | 2 |
2 | Tobias Rieder | 45 | 1 | 2 | 2 | Madison Bowey | Sean Durzi | 45 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Aidan Dudas | Jordan Martinook | 55 | 1 | 2 | 2 |
2 | Alexander True | Tobias Rieder | 45 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Ethan Bear | Sean Durzi | 55 | 1 | 2 | 2 |
2 | Madison Bowey | Cale Fleury | 45 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Tobias Rieder | Alexander True | Anders Bjork | Ethan Bear | Sean Durzi |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Brandon Pirri | Jordan Martinook | Tobias Rieder | Ethan Bear | Cale Fleury |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Jordan Martinook, Anders Bjork, Marko Dano | Jordan Martinook, Marko Dano | Jordan Martinook |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Ethan Bear, Sean Durzi, Cale Fleury | Madison Bowey | Madison Bowey, Cale Fleury |
Tirs de pénalité |
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Jordan Martinook, JC Lipon, Yannick Veilleux, Anders Bjork, Marko Dano |
Gardien |
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#1 : Louis Domingue, #2 : Eric Comrie |
Lignes d’attaque personnalisées en prolongation |
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Aidan Dudas, Jordan Martinook, Alexander True, Tanner Kaspick, Marko Dano, Anders Bjork, Anders Bjork, Tobias Rieder, Yannick Veilleux, JC Lipon, Joseph Cramarossa |
Lignes de défense personnalisées en prolongation |
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Cale Fleury, Konrad Abeltshauser, Sean Durzi, Madison Bowey, Axel Andersson |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 |
Total pour les joueurs | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 0 | 0 |
Tentatives en avantage numérique | Buts en avantage numérique | % en avantage numérique | Tentatives en désavantage numérique | Buts contre en désavantage numérique | % en désavantage numérique | Buts pour en désavantage numérique |
---|---|---|---|---|---|---|
0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 |
Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Mises en jeu | ||||||||
---|---|---|---|---|---|---|---|---|
Gagnées en zone offensive | Total en zone offensive | % gagnées en zone offensive | Gagnées en zone défensive | Total en zone défensive | % gagnées en zone défensive | Gagnées en zone neutre | Total en zone neutre | % gagnées en zone neutre |
0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
Temps avec la rondelle | |||||
---|---|---|---|---|---|
En zone offensive | Contrôle en zone offensive | En zone défensive | Contrôle en zone défensive | En zone neutre | Contrôle en zone neutre |
0 | 0 | 0 | 0 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
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Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 2000 | 1000 |
Prix des billets | 35 | 15 |
Assistance | 0.00% | 0.00% |
Assistance PCT | 0.00% | 0.00% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
40 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
0$ | 1,822,500$ | 1,752,500$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 12 | 0$ | 0$ |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 284 | 264 | 306 | 570 | 84 | 112 | 500 | 270 | 1814 | 14.55% | 132 | 5317 | 18.72 | 116 | 168 | 284 | 256 | 4 | 0 | 4 | 12 | 20 | 0 | 60.11% | 32 | 2.14 | 4 | 8 | |
2 | 280 | 271 | 298 | 569 | 134 | 42 | 632 | 406 | 1825 | 14.85% | 243 | 6999 | 25.00 | 82 | 119 | 201 | 188 | 0 | 4 | 4 | 32 | 24 | 14 | 55.08% | 24 | 1.63 | 5 | 18 | |
3 | 368 | 213 | 232 | 445 | 158 | 16 | 249 | 605 | 1536 | 13.87% | 230 | 6256 | 17.00 | 60 | 65 | 125 | 128 | 8 | 4 | 12 | 72 | 20 | 13 | 51.63% | 14 | 1.42 | 0 | 1 | |
4 | 192 | 192 | 224 | 416 | 76 | 16 | 244 | 228 | 1068 | 17.98% | 92 | 3923 | 20.44 | 92 | 128 | 220 | 144 | 0 | 0 | 0 | 4 | 12 | 8 | 58.55% | 20 | 2.12 | 0 | 4 | |
5 | 364 | 74 | 277 | 351 | 179 | 50 | 518 | 585 | 1159 | 6.38% | 775 | 9849 | 27.06 | 63 | 78 | 141 | 140 | 0 | 8 | 8 | 18 | 10 | 1 | 50.00% | 0 | 0.71 | 0 | 0 |
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 334 | 181 | 112 | 41 | 0.919 | 3.29 | 20111 | 10 | 9 | 1102 | 13680 | 6986 | 23 | 6 | 0.723 | 47 | |
2 | 68 | 32 | 27 | 7 | 0.918 | 3.47 | 4063 | 10 | 0 | 235 | 2876 | 1487 | 2 | 0 | 0.708 | 24 |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
Saison régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
37 | 80 | 39 | 28 | 0 | 3 | 6 | 1 | 3 | 386 | 262 | 124 | 40 | 22 | 14 | 0 | 1 | 1 | 1 | 1 | 192 | 124 | 68 | 40 | 17 | 14 | 0 | 2 | 5 | 0 | 2 | 194 | 138 | 56 | 95 | 386 | 647 | 1033 | 2 | 2 | 100 | 156 | 126 | 4 | 3642 | 1233 | 1280 | 1108 | 33 | 3273 | 1074 | 508 | 1202 | 248 | 119 | 47.98% | 238 | 75 | 68.49% | 8 | 1081 | 2114 | 51.14% | 1068 | 2137 | 49.98% | 760 | 1416 | 53.67% | 1750 | 1061 | 1689 | 716 | 1393 | 677 |
37 | 80 | 40 | 27 | 0 | 3 | 6 | 1 | 3 | 387 | 260 | 127 | 40 | 23 | 13 | 0 | 1 | 1 | 1 | 1 | 193 | 122 | 71 | 40 | 17 | 14 | 0 | 2 | 5 | 0 | 2 | 194 | 138 | 56 | 97 | 387 | 649 | 1036 | 1 | 2 | 99 | 157 | 127 | 4 | 3637 | 1236 | 1278 | 1102 | 33 | 3268 | 1077 | 502 | 1203 | 249 | 120 | 48.19% | 235 | 75 | 68.09% | 8 | 1079 | 2108 | 51.19% | 1058 | 2121 | 49.88% | 756 | 1413 | 53.50% | 1751 | 1060 | 1687 | 715 | 1395 | 679 |
38 | 80 | 30 | 29 | 0 | 5 | 7 | 4 | 5 | 334 | 316 | 18 | 40 | 16 | 12 | 0 | 3 | 4 | 3 | 2 | 176 | 150 | 26 | 40 | 14 | 17 | 0 | 2 | 3 | 1 | 3 | 158 | 166 | -8 | 90 | 334 | 564 | 898 | 0 | 1 | 80 | 127 | 118 | 13 | 3290 | 1027 | 1179 | 1048 | 67 | 3480 | 1136 | 548 | 1388 | 268 | 89 | 33.21% | 228 | 100 | 56.14% | 3 | 990 | 2002 | 49.45% | 931 | 2140 | 43.50% | 639 | 1354 | 47.19% | 1668 | 926 | 1717 | 725 | 1473 | 759 |
Total Saison régulière | 240 | 109 | 84 | 0 | 11 | 19 | 6 | 11 | 1107 | 838 | 269 | 120 | 61 | 39 | 0 | 5 | 6 | 5 | 4 | 561 | 396 | 165 | 120 | 48 | 45 | 0 | 6 | 13 | 1 | 7 | 546 | 442 | 104 | 282 | 1107 | 1860 | 2967 | 3 | 5 | 279 | 440 | 371 | 21 | 10569 | 3496 | 3737 | 3258 | 133 | 10021 | 3287 | 1558 | 3793 | 765 | 328 | 42.88% | 701 | 250 | 64.34% | 19 | 3150 | 6224 | 50.61% | 3057 | 6398 | 47.78% | 2155 | 4183 | 51.52% | 5170 | 3047 | 5093 | 2157 | 4262 | 2115 |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|